![]() Here we see that both the mshare and (Constant) coefficient estimates are easily significant, \(p < 0.001\), though in this application we don’t especially care about the constant. Dividing the coefficient by the standard error gives us the \(t\)-statistic used to calculate the \(p\)-value. Error tells us how much sample-to-sample variability we should expect. We can see that for each increase of one on the mshare variable, the vote share increases by 0.269. This value is of less interest to us compared to assessing the regression line slope, the coefficient for mshare. Here we see that the predicted value is 37.04, which coincides with what we saw above in the scatterplot. ![]() This is the vote share we expect when Tweet share equals zero. The (Constant) line is the estimate for the intercept in the simple regression equation. The Unstandardized B gives the coefficients used in the regression equation. The final table gives us the results of the regression model. DELETE VARIABLESīoth variables are measured as percentages ranging from zero to 100. We can run the following line of syntax to delete all other variables.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |